Editing Eliezer Yudkowsky (section)

===Capabilities forecasting===
In the [[intelligence explosion]] scenario hypothesized by [[I. J. Good]], recursively self-improving AI systems quickly transition from subhuman general intelligence to [[superintelligence|superintelligent]]. [[Nick Bostrom]]'s 2014 book ''[[Superintelligence: Paths, Dangers, Strategies]]'' sketches out Good's argument in detail, while citing Yudkowsky on the risk that [[Anthropomorphism|anthropomorphizing]] advanced AI systems will cause people to misunderstand the nature of an intelligence explosion. "AI might make an ''apparently'' sharp jump in intelligence purely as the result of anthropomorphism, the human tendency to think of 'village idiot' and 'Einstein' as the extreme ends of the intelligence scale, instead of nearly indistinguishable points on the scale of minds-in-general."<ref name="aima"/><ref name="gcr"/><ref>{{cite book|last1=Bostrom|first1=Nick|author-link=Nick Bostrom|title=Superintelligence: Paths, Dangers, Strategies|date=2014|isbn=978-0199678112|title-link=Superintelligence: Paths, Dangers, Strategies|publisher=Oxford University Press }}</ref>

In ''Artificial Intelligence: A Modern Approach'', Russell and Norvig raise the objection that there are known limits to intelligent problem-solving from [[computational complexity theory]]; if there are strong limits on how efficiently algorithms can solve various tasks, an intelligence explosion may not be possible.<ref name="aima"/>